Results 41 to 50 of about 3,709,095 (175)

The Chromagenic Colour Camera and Illuminant Estimation

, 2005
A chromagenic camera takes two pictures of each scene. The first is taken as normal but a specially chosen coloured filter is placed in front of the camera when capturing the second image. The chromagenic filter is chosen so that the combined image makes
Hordley, S. D., Finlayson, G. D., Morovic, P. M.   +2 more
core   +6 more sources

Segmentation and Estimation of Spatially Varying Illumination [PDF]

IEEE Transactions on Image Processing, 2014
In this paper, we present an unsupervised method for segmenting the illuminant regions and estimating the illumination power spectrum from a single image of a scene lit by multiple light sources. Here, illuminant region segmentation is cast as a probabilistic clustering problem in the image spectral radiance space.
Gu, Lin, Huynh, Cong, Robles-Kelly, Antonio   +2 more
openaire   +3 more sources

Towards Consistent Automatic Colour Grading: A Scene-Aware Neural Network for Illuminant Estimation

Conference on Visual Media Production
Consistent colour appearance across shots is essential in motion picture post-production, particularly during the colour-matching stage that ensures scene coherence after initial white balancing.
Bold-Erdene Ganbaatar, François Pitié
semanticscholar   +1 more source

Enhancing multi-illuminant color constancy through multi-scale estimation and high-frequency preservation [PDF]

The Visual Computer
Color constancy is a crucial visual ability that allows humans to perceive consistent colors under varying illuminations. However, cameras often struggle with this under multi-illuminant scenes, resulting in local color casts in images.
Hang Luo, Rong Li, Jinxing Liang
semanticscholar   +1 more source

Spatio-Spectral Deep Color Constancy With Multi-Band NIR

IEEE Access
This paper proposes to utilize deep spatio-spectral features for color constancy, while most conventional methods focus on only spatial information of RGB images. We propose a novel color constancy method that exploits multi-band near-infrared (NIR). The
Dong-Keun Han, Jeong-Won Ha, Jong-Ok Kim
doaj   +1 more source

Illumination normalization of face image based on illuminant direction estimation and improved Retinex.

PLoS ONE, 2015
Illumination normalization of face image for face recognition and facial expression recognition is one of the most frequent and difficult problems in image processing.
Jizheng Yi, Xia Mao, Lijiang Chen, Yuli Xue, Alberto Rovetta, Catalin-Daniel Caleanu   +5 more
doaj   +1 more source

On the fair use of the ColorChecker dataset for illuminant estimation

Journal of Physics, Conference Series
The ColorChecker dataset is the most widely used dataset for evaluating and benchmarking illuminant-estimation algorithms. Although it is distributed with a 3-fold cross-validation partitioning, no procedure is defined on how to use it.
Marco Buzzelli, G. Finlayson, A. Gijsenij, Peter Gehler, Mark S. Drew, Lilong Shi, Luca Cogo, Simone Bianco   +7 more
semanticscholar   +1 more source

Preceding Vehicle Detection and Tracking Adaptive to Illumination Variation in Night Traffic Scenes Based on Relevance Analysis

Sensors, 2014
Preceding vehicle detection and tracking at nighttime are challenging problems due to the disturbance of other extraneous illuminant sources coexisting with the vehicle lights.
Junbin Guo, Jianqiang Wang, Xiaosong Guo, Chuanqiang Yu, Xiaoyan Sun   +4 more
doaj   +1 more source

Inferred Motion Perception of Light Sources in 3D Scenes is Color-Blind

i-Perception, 2013
In everyday scenes, the illuminant can vary spatially in chromaticity and luminance, and change over time (e.g. sunset). Such variation generates dramatic image effects too complex for any contemporary machine vision system to overcome, yet human ...
Holly E. Gerhard, Laurence T. Maloney
doaj   +1 more source

Robust pixel-wise illuminant estimation algorithm for images with a low bit-depth.

Optics Express
Conventional illuminant estimation methods were developed for scenes with a uniform illumination, while recently developed methods, such as pixel-wise methods, estimate the illuminants at the pixel level, making them applicable to a wider range of scenes.
Shuwei Yue, Minchen Wei
semanticscholar   +1 more source